Submission Deadline: 01 September 2027 View: 56 Submit to Special Issue
Prof. Liming Dai
Email: liming.dai@uregina.ca
Affiliation: Industrial Systems Engineering, University of Regina, Regina, Canada
Research Interests: nonlinear dynamics, chaotic vibrations and industrial vibration control, machine learning, nonlinear behavior diagnosis of engineering structures
Prof. Changzhao Qian
Email: qiancz@163.com
Affiliation: School of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen, China
Research Interests: nonlinear dynamics and control, wind engineering
Prof. Reza N. Jazar
Email: gjazar@tarleton.edu
Affiliation: Department of Mechanical, Environmental, and Civil Engineering at Tarleton State University, Texas, USA
Research Interests: nonlinear dynamics and vibrations, vehicle dynamics, human–road–vehicle interaction, and applied mathematics
Modern engineering systems—ranging from lightweight aerospace vehicles and long-span bridges to offshore wind turbines and high-rise buildings—are increasingly susceptible to complex nonlinear dynamic phenomena. Geometric nonlinearities, material inelasticity, and fluid-structure interactions often give rise to bifurcations, limit-cycle oscillations, and chaotic responses that challenge traditional linear analysis and design paradigms. Concurrently, the exponential growth of sensor data and computational power has ushered in a new era in which artificial intelligence and machine learning offer transformative potential for modelling, prediction, and control of these intricate behaviors. Bridging the gap between rigorous nonlinear mechanics and cutting-edge AI methodologies is therefore essential for advancing both fundamental understanding and engineering practice.
This Special Issue aims to assemble frontier research that integrates nonlinear dynamics, structural mechanics, and artificial intelligence to address pressing challenges in advanced engineering systems. Contributions grounded in both theoretical development and application-driven innovation are highly encouraged, with particular emphasis on studies that demonstrate strong analytical depth or novel engineering implementations.
Topics of Interest (including, but not limited to):
· Theoretical and computational modelling of nonlinear dynamic and aeroelastic behaviors under external excitations
· Novel numerical algorithms integrating nonlinear dynamics with AI for large-scale structural simulations
· Real-time vibration suppression and adaptive control using reinforcement learning
· Machine learning and deep learning for aerodynamic force prediction, flutter, and vortex-induced vibration analysis
· Nonlinear bifurcation, limit-cycle oscillation, chaos, and active/passive control in fluid-structure coupled systems
· Surrogate modelling, digital twins, and intelligent monitoring for civil, mechanical, and aerospace infrastructures
· Uncertainty quantification and propagation in AI-enhanced nonlinear dynamic models
· Data-driven and physics-informed AI methods for nonlinear system identification in wind- or fluid-induced vibrations
· Experimental validation of hybrid physics-AI frameworks for structural health monitoring and damage detection
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